Designing a Data Architecture for Modern Business Intelligence and Analytics
  Richard Sherman   Richard Sherman
Managing Partner
Athena IT Solutions


Monday, October 8, 2018
08:30 AM - 11:45 AM

Level:  Intermediate

Modern BI and analytical architecture has evolved beyond traditional DW with elements such as a logical data warehouse, data lakes, distribution hubs, data catalogs, analytical sandboxes, and data science hubs, along with both self-service data preparation and BI. But achieving a business return on investment (ROI) with these approaches is fruitless without the right data and technical architectures. This workshop clarifies what you need to know regarding structured, unstructured, and semi-structured data; hybrid integration and data engineering; and analytical uses by casual info consumers, power users, and data scientists.

The technology categories with associated products to be discussed and positioned for use:

  • Databases (relational, columnar, in-memory, NoSQL, and Hadoop distributions)
  • Data, application cloud, and hybrid data integration along with data preparation
  • Data virtualization
  • Descriptive, diagnostic, predictive, and prescriptive analytics
  • Traditional BI and reporting versus data discovery tools
  • On-premise, cloud, or hybrid deployments

Architectural concepts discussed:

  • Data structures and workflow
  • Data engineering, data integration, data preparation, and data virtualization
  • Business intelligence and advanced analytics
  • Enabling technologies
  • Enterprise information management and governance

Rick Sherman is the founder of Athena IT Solutions and has 30 years of business intelligence (BI), data integration, and data warehousing (DW) experience. He has worked on 100-plus BI/DW projects and has also provided guidance through assessments and as an advisor. His work has spanned industries, source systems, and technologies. Rick is an expert instructor and speaker at conferences, webinars, and seminars. He teaches business and IT people BI/DW concepts, design, architectures, and project management through onsite and online courses. He has taught BI courses for 10-plus years at Northeastern University's Graduate School of Engineering. His book "Business Intelligence Guidebook - From Data Integration to Analytics" (Morgan Kaufmann 2014) is used by practitioners and as a graduate textbook. Rick has had 200-plus articles published in industry publications. Rick also performs marketing and industry analysis for firms that create software for the BI industry.